code: def test_construct_parameter_from_existing_parameter_override_value(
      value: TensorData,
  ) -> None:
      initial_parameter = gpflow.Parameter(value)
      new_parameter = gpflow.Parameter(initial_parameter + 1.0)
  
      np.testing.assert_equal(
          new_parameter.numpy(), np.array(value) + 1.0
      )
  
imports: import tempfile
  from typing import Sequence
  import numpy
  import pytest
  import tensorflow
  import tensorflow_probability
  import gpflow
  from gpflow.base import AnyNDArray, PriorOn, TensorData
  from gpflow.config import default_float
  from gpflow.utilities import positive, triangular
label_desc: Use image node_id 5 for calling a global function with example usage: test_construct_parameter_from_existing_parameter_override_value(value) without return types